CHDS Adjunct Professor Uwe Siebert is teaching RDS 286: Decision Analysis in Clinical Research this summer, as he has for the past eleven years. Part of the Summer Program in Clinical Effectiveness, the course is designed for physician and other clinical researchers.
RDS 286 introduces students to the systematic methods of evidence-based decision analysis and cost-effectiveness analysis in clinical settings. It is designed to give students an understanding of the practical problems of applying decision analytic methods in the evaluation of clinical procedures, public health interventions, and other health technologies. Students come away with an understanding of the uses, strengths, limitations, and ethical issues of these methods in decision making and research design. The many topics covered include: causal trees, decision tree models, Markov models, sensitivity analysis, Bayes’ theorem, utility theory, benefit-harm analysis, cost-effectiveness analysis, health technology assessment, and causal inference. It also touches upon the use of artificial intelligence to develop models and how to use models in clinical practice, clinical guidelines, and reimbursement decision making.
The intensive course meets daily for the first summer session; lectures are interspersed with discussion, exercises, workshops, and other interactive activities. A cadre of teaching fellows led by Beate Jahn assists Siebert and students with multiple opportunities for feedback and support. The course also includes an optional computer lab for students who want to learn a software program for decision-analytic modeling.
Learn more: Read about Decision Science
Learn more: Read about the Summer Program in Clinical Effectiveness
Learn more: Read about Harvard Chan School core Decision Science courses taught by CHDS faculty
Related news: CHDS Faculty Recommend Directed Acyclic Graphs
Related news: Siebert Becomes ISPOR President-Elect